Summary
Overview
Work history
Education
Skills
Languages Known
Hobbies:
Experience:
Extra Curricular Activities:
DECLARATION
PERSONAL PROFILE:
Timeline
Generic

S. Keerthika Data Analyst

Mannargudi,India

Summary

A highly skilled data analyst with extensive expertise in data analysis, quantitative research methodology, and financial risk analysis. Proficient in Python programming, SQL, and the use of BI tools for strategic planning and decision-making. Demonstrates exceptional precision focus and resilience under pressure, ensuring meticulous validation checks and effective conflict resolution. Adept at utilising machine learning algorithms and statistical software to drive innovative problem structuring and predictive analysis. Committed to enhancing client relationship management through clear communication and interactive listening. Career goals include advancing in the field of data science by leveraging advanced analytical thinking to deliver impactful insights within the financial industry.

Overview

6042
6042
years of post-secondary education

Work history

Data analyst

CSC Computer Education Pvt Ltd
Mannargudi, Tamilnadu
11.2025 - Current
  • Collected and analysed complex datasets to inform business strategies.
  • Executed regular maintenance on databases, enhanced overall system performance.
  • Mitigated risks by identifying and resolving data discrepancies rapidly.
  • Analysed patterns in large datasets, delivering insights that guided decision-making.
  • Leveraged Python programming skills to automate routine tasks, boosted productivity levels significantly.
  • Created interactive dashboards using Power BI for easy data interpretation and presentation.
  • Streamlined data processing with automation techniques.
  • Generated comprehensive reports using Tableau to visualise complex concepts easily.
  • Translated complex findings into understandable documents, increased company-wide understanding of critical metrics.
  • Conducted detailed competitor analysis, provided actionable insights to stakeholders.
  • Managed confidential databases, ensured secure handling of sensitive information.
  • Enhanced business operations by developing custom data models.
  • Improved data quality by implementing structured validation checks.
  • Optimised data systems efficiency through regular system audits and updates.
  • Utilised SQL to extract relevant information for reporting purposes.
  • Identified trends in data to help inform decision-making processes.
  • Developed predictive models to accurately forecast future business trends, supporting strategic planning.
  • Advised on data collection and statistical methods to verify reliability of findings.
  • Designed questionnaires to support logical data acquisition and analysis.
  • Used statistics, probability and risk theory to assess potential financial impacts.
  • Interpreted statistical data and prepared findings for publication.
  • Developed mathematical, actuarial and statistical theories and techniques.
  • Coordinated workflows for junior researchers and statistical assistants.
  • Researched emerging industry concepts and integrated new knowledge into industry discourse.
  • Read and summarised new and complex mathematical information to inform decision-making.
  • Analysed management issues to assess productivity and suggest math-based solutions.
  • Cultivated industry alliances and partnerships to support information exchange.
  • Applied mathematical principles, models and techniques to diverse sectors.
  • Utilised scientific methods and techniques to investigate phenomena.
  • Fostered integrated and open collaborations to co-create shared value research and innovations.
  • Created mathematical models of business challenges for use in computer analysis.
  • Contributed value to engineering and life science applications using mathematical models.
  • Designed pension schemes and life insurance frameworks to enhance accuracy.
  • Prepared scientific papers and reports detailing mathematical research.
  • Entered information into data storage and data retrieval systems for processing.
  • Planned and organising surveys and other statistical collections for data analysis.
  • Supervised mathematical, actuarial and statistical clerks.

Education

B.E - Information Technology (IT)

A.R.J.College of Engineering And Technology
Mannargudi

12th std -

St.Joseph's Girls Higher Secondary School
Mannargudi

10th std - Mathematics

Government Girls Higher Secondary School
Kottur

Skills

  • Python for data science
  • SQL
  • Data analysis expertise
  • Interactive listening
  • Data visualisation tools
  • Client Relationship Management
  • Mathematical principles understanding
  • Data analysis
  • Database management
  • Excel proficiency
  • Python programming
  • ✅ BI Analyst
    ✅ Operations Analyst
    ✅ Product Analyst
    ✅ Financial Analyst
    ✅ MIS Analyst

Languages Known

C
Intermediate
C++
Intermediate
Java
Intermediate
Html
Intermediate
PHP
Intermediate
English
Advanced (C1)

Hobbies:

Reading Books, Listening music, Playing games etc…..

Experience:

Paper Presented: I presented a paper “Image Steganography” on 25th February 2014., I participated in the ‘ANDROID‘ workshop conducted by A.R.J. college of Engineering and Technology

Extra Curricular Activities:

TeskTop publishing Corel Draw Adobe Photoshop TeskTop publishing Corel Draw Adobe Photoshop

DECLARATION

I hereby declare that I mentioned above are true to my knowledge.

PERSONAL PROFILE:

  • Name: S.Keerthika
  • Date of Birth: 03-06-1996
  • Nationality: Indian
  • Religion: Hindu

Timeline

Data analyst

CSC Computer Education Pvt Ltd
11.2025 - Current

B.E - Information Technology (IT)

A.R.J.College of Engineering And Technology

12th std -

St.Joseph's Girls Higher Secondary School

10th std - Mathematics

Government Girls Higher Secondary School
S. Keerthika Data Analyst